Research Article

Comparative Analysis of AI Models in Solving 3x3x3 and Higher-Order Rubik’s Cubes

by  Ishaan Singh
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Issue 10
Published: June 2025
Authors: Ishaan Singh
10.5120/ijca2025925006
PDF

Ishaan Singh . Comparative Analysis of AI Models in Solving 3x3x3 and Higher-Order Rubik’s Cubes. International Journal of Computer Applications. 187, 10 (June 2025), 25-28. DOI=10.5120/ijca2025925006

                        @article{ 10.5120/ijca2025925006,
                        author  = { Ishaan Singh },
                        title   = { Comparative Analysis of AI Models in Solving 3x3x3 and Higher-Order Rubik’s Cubes },
                        journal = { International Journal of Computer Applications },
                        year    = { 2025 },
                        volume  = { 187 },
                        number  = { 10 },
                        pages   = { 25-28 },
                        doi     = { 10.5120/ijca2025925006 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2025
                        %A Ishaan Singh
                        %T Comparative Analysis of AI Models in Solving 3x3x3 and Higher-Order Rubik’s Cubes%T 
                        %J International Journal of Computer Applications
                        %V 187
                        %N 10
                        %P 25-28
                        %R 10.5120/ijca2025925006
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Artificial Intelligence has revolutionized the way machines approach complex problem-solving. One intriguing application lies in solving combinatorial puzzles like the Rubik’s Cube, which serve as benchmarks for algorithmic efficiency and cognitive modelling. This paper aims to show the comparative analysis of AI models in how they approach difference Rubik’s Cube puzzles (3x3x3, 4x4x4 and 5x5x5). The findings provide insights into the design of more adaptive, scalable solvers for high-dimensional discrete environments, contributing to the broader field of AI planning and decision-making.

References
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  • Solving the Rubik's Cube with Deep Reinforcement Learning and Search.
  • Juntao Chen (2018).Different Algorithms to Solve a Rubik’s Cube
  • Mahindra Roshan, S.Rakesh, T.SriGnana Guru, B.Rohith, J.Hemalatha. (2024).Towards efficiently solving the rubik’s cube with deep reinforcement learning and recursion
  • Kociemba, Herbert. Cube Explorer (Windows program). http://kociemba.org/cube.htm
  • Korf, Richard E IJCAI-97.Finding Optimal Solutions to Rubik’s Cube Using Pattern Databases.
  • Emir Barucija, AmilaAkagic, Samir Ribic, ZelijkoJuric.Two approaches in solving Rubik’s cube with Hardware-Software Co-design.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Artificial Intelligence Rubik's Cubes Algorithmic Efficiency Analysis

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